Resume
GSoC '25 Contributor

Hi, I'mSahil JaiswalAI/ML & Systems Engineer

I build AI/ML systems and production infrastructure — from fine-tuning LLMs to optimizing CI pipelines.

Sahil Jaiswal
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Building intelligent systems that make an impact

I'm an AI/ML & Systems Engineer with a strong focus on machine learning, NLP & LLMs, and systems-level infrastructure.

My work spans from fine-tuning large language models and building RAG pipelines to optimizing CI infrastructure and contributing to open-source kernel-level projects. I'm pursuing an Integrated BTech + MTech in Information Technology at IIITM Gwalior, and completed Google Summer of Code 2025 at BeagleBoard.org.

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Education

Integrated BTech + MTech in Information Technology at IIIT Gwalior (Nov 2022 – Jun 2027)

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Based in

India

UTC +5:30
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Current Focus

AI/ML & Open Source

Core Tools

PythonPyTorchCDockerGitLinux

Core Technical Domains

Specializing in AI/ML engineering and systems infrastructure

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AI / Machine Learning

Fine-tuning LLMs, building RAG pipelines, NLP tasks including sentiment analysis, topic classification, and summarization.

PyTorchTransformersLoRAHuggingFace
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LLMs & RAG Systems

End-to-end retrieval-augmented generation with LangChain, FAISS vector stores, and LLaMA-powered grounded answers with citations.

LangChainFAISSLLaMAGroq
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Linux & Open Source

Linux kernel workflows, Zephyr RTOS, Greybus framework, and open-source contribution following upstream coding standards.

LinuxZephyr RTOSGreybusOpen Source
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Backend & APIs

Building scalable backend services with Node.js, Express, RESTful APIs, and MongoDB for data-driven applications.

Node.jsExpress.jsREST APIsMongoDB
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DevOps & CI/CD

GitHub Actions CI pipelines, Docker containerization, AWS (EC2, S3), and automated testing and regression detection.

DockerGitHub ActionsAWSCI/CD
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Languages & Systems

Strong foundations in Python, C, Java, and JavaScript. Systems-level programming with a focus on performance and correctness.

PythonCJavaJavaScript

Featured Projects

AI/ML systems, open-source contributions, and production infrastructure

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Google Summer of Code '25 — BeagleBoard.org

Contributed to Greybus framework, CI pipeline optimization, and upstream kernel infrastructure

  • Optimized CI Pipeline — switched to action-zephyr-setup, introduced import allowlist, reduced build time by 50%
  • Enhanced automated testing pipeline for CI and regression testing of modules
  • Contributed to upstream of communication framework for long-term maintainability and scalability
  • Removed dependencies on patched kernels, boosting portability across platforms
CGitHub Actions CILinux KernelZephyr RTOSOpen Source
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Fine-Tuning LLM for Verilog Code Generation

Fine-tuned StarCoder2 3B with LoRA for hardware description language generation

  • Fine-tuned StarCoder2 3.03B parameters with LoRA on RTL-PP dataset for 11,000+ samples, training 9.09M params in FP16
  • Achieved 2x compilation rate on a 10-task Verilog test suite, +50% improvement on medium and hard tasks
  • Designed custom evaluation pipeline — iverilog compilation checking, keyword scoring, and token efficiency analysis
PythonPyTorchTransformersLoRAHuggingFaceVerilog
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Atlan Customer Support Copilot

End-to-end RAG assistant with multi-model ticket intelligence

  • Built RAG assistant by scraping 150+ docs, constructing FAISS knowledge base, and generating grounded answers via LLaMA 3.1-8B with source citations
  • Implemented multi-model ticket intelligence for 30+ tickets — Topic + Priority (BART-MNLI), Sentiment (RoBERTa), and Summarization (BART-CNN)
  • Tuned retrieval using MMR + similarity with quality and deduplication filters, persisted knowledge base for fast inference
PythonLangChainFAISSTransformersGroqDocker

Skills & Achievements

Technical Proficiency

🐍Python92%
🧠PyTorch & Transformers88%
🔗LangChain & RAG85%
C85%
🐧Linux & Git88%
📦Docker & CI/CD82%
🚀Node.js & Express80%
☁️AWS (EC2, S3)75%
🏆0GSoC Selection
☁️0+Google Cloud Badges
🌍0Top GSoC Contributors
📄0+RAG Docs Scraped

Let's Build Something Together

Interested in AI/ML engineering, systems programming, open-source development, and backend infrastructure. Looking for environments where engineering rigor and deep technical understanding are valued.

Open to opportunities